Neural -network -based control of vibration in the presence of uncertainties in system parameters and excitation frequencies

T. C. Wang, A. Sinha

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A neural-network-based algorithm has been developed to control steady state vibration in a flexible structure. The main feature of this algorithm is that neural networks are trained to compensate for uncertainties in system parameters and excitation frequencies. Numerical results are presented to corroborate the validity of this algorithm.

Original languageEnglish (US)
Pages (from-to)339-344
Number of pages6
JournalAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Volume93
StatePublished - Dec 1 1996

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Engineering(all)

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